video1.0<iframe src="https://www.loom.com/embed/a1aa7b5938684f40b61e3f7819fe2dd2" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/a1aa7b5938684f40b61e3f7819fe2dd2-e69becc4cfceb6aa.gif567.9This Loom introduces PatSnap Life Science AI Suite’s Lead Compound Analyzer and demonstrates how to generate a lead and optimal molecule recommendation from a patent. The speaker explains that LCA mines dense patent documents to quickly identify the most relevant molecular structures, taking either a drug name or a specific patent number as input. Using a W.O. patent as an example, the agent produces a report with seven recommended optimal compounds and supporting data such as biological activity, structural information, predicted drug-like properties, and source links (for example, selectivity data via P164). The report also includes high-frequency fragment recommendations, toxicological and pharmacodynamic and ADMET prediction tables, and insights on scaffold optimization and selectivity enhancement, with options to share via a blue share button or export using an export button.